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1 year ago · 1 min. reading time · ~10 ·

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Statistics

Statistics

Question 1
In the population, the average IQ is 100 with a standard deviation of 15. A team of scientists want to test a new medication to see if it has either a positive or negative effect on intelligence, or not effect at all. A sample of 30 participants who have taken the medication  has a mean of 140. Did the medication affect intelligence?

Step 1: Set up the null and alternate hypothesis

H0: medication affects intelligence
Ha: medication does not affect intelligence

(not that the alternate hypothesis is always the opposite of the null hypothesis)

Step 2: Determine the type of test to use
Since the sample size  is 30, we use the z-test. See why we use the z-test when sample size is 30 and above in Parametric Tests in Statistics, When to use which

Step 3: Calculate the tested statistic z using the formula

 

4 18 the null hypothesisigiven mean) to be tested
a's the given standard deviation

n is the number of samples

x, is the mean of the samples

Zs the tested statistic

 

 
 

This formular can also be written like this:

 

L_ Xn Ho
z=" Vn

 

Using the data given in the equation we would have the following:
μ0 = 100
σ = 15
n = 30
x̄n = 140 

Plugging the values into the formular we have:

 

140 — 100 ,
z= V30 = 14.606

15

 

Step 4:  Look up the values of z ( called the critical value) from statistical tables. 
You can access statistical table from here. Statistical Table
From the table: we get a value of 1.96

Step 5: Draw a conclusion
In this case the tested statistic value of z calculated is more than the critical value obtained from statistical tables.

14.606 > 1.96

 Therefore we reject the null hypothesis.
This means, from the question, that the medication administered does not affect intelligence.
 

Question 2

A professor wants to know if her introductory statistics class has a good grasp of basic math. Six students are chosen at random from the class and given a math proficiency test. The professor wants the class to be able to score above 70 on the test. The six students get the following scores:62, 92, 75, 68, 83, 95.
Can the professor have 90% confidence that the mean score for the class on the test would be above 70.

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